Lead Data Analyst

We only sponsor employment visa for candidates who are authorized to work in the United States without sponsorship both now or in the future.

• Lead End-to-End Analyses
  • Partner with stakeholders to understand business priorities and translate them into analytical approaches
  • Design, test, and refine appropriate methodologies for complex analytical questions
  • Work directly with large, messy healthcare datasets, including medical and pharmacy claims
  • Build and maintain robust SQL queries and analytical datasets
• Deliver Decision-Ready Insights
  • Develop clear visualizations and summaries that communicate findings to technical and non‑technical audiences
  • Translate complex analyses into actionable recommendations
  • Document methodologies, assumptions, and limitations to ensure transparency and repeatability
• Collaborate Within the Team
  • Work closely with Data Scientists to support exploratory analyses, hypothesis generation, and interpretation of results
  • Partner with Analytics teammates to align definitions, methodologies, and data quality standards
  • Contribute through collaboration and shared problem‑solving
• Drive Business Impact
  • Proactively identify opportunities where analytics can improve business outcomes
  • Support teams across the organization, including underwriting, product, account management, and cost containment

• A problem-solver with a natural sense of curiosity, analytic rigor, and a deep interest in understanding complex healthcare data
• A collaborator with proven ability to work cross-functionally across many different stakeholders to create and deliver insights
• A strong communicator who effectively shares information at the appropriate level across a wide variety of audiences
• A self-starter with a demonstrated track record of owning projects from idea to execution
• A critical thinker with demonstrated ability to be creative, strategic, and to apply strong business judgement
• A translator who can turn complex analysis into actionable insights and recommendations for the business

• 8–10+ years’ experience in a healthcare-based analytics role, preferably in the health benefits space/insurance industry
• Deep, hands‑on experience working with administrative healthcare data (medical and pharmacy claims)
• Strong mathematical and statistical foundation, including comfort with quantitative reasoning, distributions, rates, and variability as applied to real-world healthcare data
• Expert-level SQL skills, including building, optimizing, and validating complex analytical queries
• Advanced proficiency in data visualization tools such as Tableau
• Extensive experience in data cleaning, validation, and exploratory analysis using large, complex datasets
• Strong understanding of analytical methods, including descriptive statistics, cohort analysis, risk assessment, trend analysis, and causal thinking
• Strong analytic judgment: knowing which method to use, why, and when
• Master’s degree in a quantitative/analytic field (or equivalent work experience)

• Working knowledge of Python or R for analysis and data wrangling (advanced modeling not required)
• Experience working with data from CRM systems, e.g., Salesforce
• Familiarity with underwriting and actuarial risk assessments for healthcare insurance coverage
• Familiarity with AWS Serverless Services and data tools, such as S3, Lambda, Glue, Sagemaker and EMR

• Fully paid medical, dental, and vision benefits
• Flexible PTO
• 401k company contribution
• Tuition reimbursement
• Professional development allowance
• Transportation allowance and daily parking reimbursement
• Engaging hybrid work environment

Disclosures:
Pareto Health is an Equal Opportunity Employer and does not discriminate on the basis of race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status. These activities include, but are not limited to, hiring and firing of staff, selection of volunteers and vendors, and provision of services. We are committed to providing an inclusive and welcoming environment for all members of our staff, clients, volunteers, subcontractors, vendors, and clients.